scholarly journals Exercise Trajectories of Women from Entry to a 6-Month Cardiac Rehabilitation Program to One Year after Discharge

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Heather M. Arthur ◽  
Chris Blanchard ◽  
Elizabeth Gunn ◽  
Jennifer Kodis ◽  
Steven Walker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Latent Class ◽  
Rehabilitation Program ◽  
Activity Levels ◽  
Activity Data ◽  
Prospective Longitudinal Study ◽  
Strenuous Activity ◽  
One Year ◽  
Prospective Longitudinal

Background. Physical activity is associated with reduced mortality and morbidity. Cardiac rehabilitation (CR) is an effective intervention for patients with cardiovascular disease (CVD). Unfortunately, women are less likely to engage in, or sustain, regular physical activity. Objectives were to (1) describe women’s guidelines-based levels of physical activity during and after CR and (2) determine the physical activity trajectories of women from entry to CR to one year after CR.Methods and Results. A prospective, longitudinal study of 203 women with CVD enrolled in a 6-month CR program. Physical activity was measured using the Godin Leisure Time Exercise Questionnaire (LSI), focusing on moderate-strenuous activity. Data were analyzed using latent class growth analysis (LCGA) and logistic regression. Mean scores on the LSI showed women to be “active” at all follow-up points. LCGA revealed a two-class model, respectively, called “inactive relapsers” and “moderately active relapsers.” Predictors of the “moderately active relapsers” class were employment status and diagnosis of myocardial infarction.Conclusions. Women achieved the recommended physical activity levels by the end of CR and sustained them until one year after CR. LCGA allowed us to determine the class trajectories associated with moderate-strenuous activity and, from these, to identify implications for targeted intervention.

scholarly journals Physical activity levels among ovarian cancer survivors: a prospective longitudinal cohort study

2021 ◽  
pp. ijgc-2020-002107
Author(s):  
Tamara Jones ◽  
Carolina Sandler ◽  
Dimitrios Vagenas ◽  
Monika Janda ◽  
Andreas Obermair ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Stage Iv ◽  
Multiple Time ◽  
Activity Levels ◽  
Prospective Longitudinal Study ◽  
Physical Activity Advice ◽  
Physical Activity Levels ◽  
Multiple Time Points ◽  
Prospective Longitudinal

ObjectivePhysical activity following cancer diagnosis is associated with improved outcomes, including potential survival benefits, yet physical activity levels among common cancer types tend to decrease following diagnosis and remain low. Physical activity levels following diagnosis of less common cancers, such as ovarian cancer, are less known. The objectives of this study were to describe physical activity levels and to explore characteristics associated with physical activity levels in women with ovarian cancer from pre-diagnosis to 2 years post-diagnosis.MethodsAs part of a prospective longitudinal study, physical activity levels of women with ovarian cancer were assessed at multiple time points between pre-diagnosis and 2 years post-diagnosis. Physical activity levels and change in physical activity were described using metabolic equivalent task hours and minutes per week, and categorically (sedentary, insufficiently, or sufficiently active). Generalized Estimating Equations were used to explore whether participant characteristics were related to physical activity levels.ResultsA total of 110 women with ovarian cancer with a median age of 62 years (range 33–88) at diagnosis were included. 53–57% of the women were sufficiently active post-diagnosis, although average physical activity levels for the cohort were below recommended levels throughout the 2-year follow-up period (120–142.5min/week). A decrease or no change in post-diagnosis physical activity was reported by 44–60% of women compared with pre-diagnosis physical activity levels. Women diagnosed with stage IV disease, those earning a lower income, those receiving chemotherapy, and those currently smoking or working were more likely to report lower physical activity levels and had increased odds of being insufficiently active or sedentary.ConclusionsInterventions providing patients with appropriate physical activity advice and support for behavior change could potentially improve physical activity levels and health outcomes.

Effectiveness of mHealth Interventions on Physical Activity and Physical Fitness in Outpatient and Home-Based Cardiac Rehabilitation Programs: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Sheeba Nadarajah ◽  
Susan Buchholz ◽  
Kristen Dickins
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Physical Fitness ◽  
Cardiac Rehabilitation ◽  
Text Messaging ◽  
English Language ◽  
Rehabilitation Program ◽  
Cardiac Rehabilitation Program ◽  
Mixed Effect ◽  
Home Based

BACKGROUND Globally, cardiovascular disease is the leading cause of death. Cardiovascular mortality can be decreased by participation in cardiac rehabilitation. Researchers are exploring the use of mHealth technology in cardiac rehabilitation. OBJECTIVE The aim of this systematic review is to examine the effectiveness of randomized controlled trials that use a mHealth intervention as a part of an outpatient and/or home-based cardiac rehabilitation program on improving physical activity and physical fitness outcomes. METHODS For this systematic review, mHealth interventions were limited to text messaging, mobile apps, and use of a mobile phone network for data transmission, used to deliver cardiac rehabilitation program. Using six databases, the search strategy included published English language studies through 2016. Data was extracted independently by two reviewers, and then synthesized. RESULTS The initial search yielded 149 articles, of which 15 articles that represented nine studies met inclusion criteria. Articles were published from 2010 to 2016 and came from two continents. The majority (84%) of participants were male. Generally, the participant mean age was late 50s to early 60s. Text messaging was the most frequently used intervention. The results of the physical activity and physical fitness findings were mixed. Effect sizes for intervention as measured by the 6-minute walk test ranged from 0.46 to 0.58 and peak VO2 ranged from 0.03 to 1.35. CONCLUSIONS Globally, use of mHealth in outpatient and/or home-based cardiac rehabilitation is being studied with greater attention. However, these studies are limited by geography, gender, and age. Therefore, further research in the area of cardiac rehabilitation and mHealth is recommended, especially in developing countries, among women, and older adults.

scholarly journals A framework to foster analysis skill for self-directed activities in data-rich environment

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yuanyuan Yang ◽  
Rwitajit Majumdar ◽  
Huiyong Li ◽  
Gökhan Akçapinar ◽  
Brendan Flanagan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Undergraduate Students ◽  
Skill Acquisition ◽  
Learning System ◽  
Activity Levels ◽  
Learning Context ◽  
Context Analysis ◽  
Activity Data ◽  
Actual Usage ◽  
Goal System

AbstractSelf-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an appropriate plan can be set or not. This research presents a framework designed to foster students’ analysis skill in self-directed activities, which aims (1) to build a technology-enabled learning system allowing students to practice analyzing data from their own daily contexts, (2) to propose an approach to model student’s analysis skill acquisition level and process, and (3) to provide automated support and feedback for analysis skill development tasks. The analysis module based on the proposed framework was implemented in the GOAL system which synchronized data from learners’ physical and reading activities. A study was conducted with 51 undergraduate students to find reliable indicators for the model to then measure students’ analysis skills. By further analyzing students’ actual usage of the GOAL system, we found the actual activity levels and their preferences regarding analysis varied for the chosen contexts (learning and physical activity). The different context preference groups were almost equal, highlighting the utility of a system that integrates data from multiple contexts. Such a system can potentially respond to students’ individual preferences to execute and acquire self-direction skill.

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